Bridge the gap between VQA and human behavior on omnidirectional video: A large-scale dataset and a deep learning model

C Li, M Xu, X Du, Z Wang - Proceedings of the 26th ACM international …, 2018 - dl.acm.org
Omnidirectional video enables spherical stimuli with the 360*180^∘ viewing range.
Meanwhile, only the viewport region of omnidirectional video can be seen by the observer …

Viewport-based CNN: A multi-task approach for assessing 360° video quality

M Xu, L Jiang, C Li, Z Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
For 360° video, the existing visual quality assessment (VQA) approaches are designed
based on either the whole frames or the cropped patches, ignoring the fact that subjects can …

Cencro-speedup of video quality calculation using center cropping

S Göring, C Krämmer, A Raake - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Today's video streaming providers, eg Youtube, Netflix or Amazon Prime, are able to deliver
high resolution and high-quality content to end users. To optimize video quality and to …

Edge dissimilarity reduced-reference quality metric with low overhead bitrate

FDA Rahman, D Agrafiotis… - Indonesian …, 2018 - research-information.bris.ac.uk
In multimedia transmission, it is important to rely on an objective quality metric which
accurately represents the subjective quality of processed images and video sequences …

[PDF][PDF] Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video

ALS Dataset, DL Model - 2018 - academia.edu
Omnidirectional video enables spherical stimuli with the 360× 180◦ viewing range.
Meanwhile, only the viewport region of omnidirectional video can be seen by the observer …